sharbelxyz/x-bookmarks

Registry 信息

项目简介

x-bookmarks 是一个 OpenClaw 技能，可将你的 X（Twitter）书签转化为可执行的智能体任务，帮助你停止囤积，开始应用已保存的内容。

要点

• 将 X 书签转换为智能体动作
• 与 OpenClaw 技能框架集成
• 从已保存的推文自动生成任务
• 减少信息囤积
• 实现书签内容的实际应用

使用场景

• 将保存的推文转化为可执行的待办事项
• 从书签资源自动执行后续操作
• 将 X 书签与个人生产力工作流集成
• 通过处理已保存内容减少数字杂乱
• 利用书签知识驱动智能体任务

README 摘要

# x-bookmarks Turn X/Twitter bookmarks from a graveyard of good intentions into actionable work. ## How This Works Once installed, just tell your AI agent: > "check my bookmarks" That's it. Your agent will: 1. **Fetch** your latest X bookmarks (auto-detects bird CLI or X API v2) 2. **Categorize** them by topic (crypto, AI, marketing, tools, etc.) 3. **Propose actions** for each one — not just summaries, but things your agent can actually do: ``` 📂 AI TOOLS (3) • @someone shared a repo for automating video edits → 🤖 I CAN: Clone it, test it, and set it up for you 📂 TRADING (2) • @trader posted a new momentum strategy with backtest data → 🤖 I CAN: Compare this against your current strategy and report differences ``` You can also say: - **"bookmark digest"** — get a categorized summary of recent saves - **"what did I bookmark this week?"** — filtered by time - **"find patterns in my bookmarks"** — clusters topics you keep saving - **"clean up old bookmarks"** — flags stale saves with TL;DRs ### Scheduled Digests Set up a daily or weekly cron job and your agent will automatically check for new bookmarks, categorize them, and deliver a digest to you. ## What it does - Fetches your X bookmarks via **bird CLI** or **X API v2** (auto-detects) - Categorizes them by topic - Proposes specific actions your AI agent can execute - Supports scheduled digests via cron - Pattern detection across bookmark history ## Quick Start ### Option 1: bird CLI (easiest) ```bash npm install -g bird-cli # Log into x.com in Chrome, then: bird --chrome-profile "Default" bookmarks --json ``` ### Option 2: X API v2 (no bird needed) ```bash # One-time: create app at https://developer.x.com, then: python3 scripts/x_api_auth.py --client-id "YOUR_CLIENT_ID" # Fetch bookmarks python3

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